{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import sys \n",
    "from os import getcwd, path\n",
    "sys.path.append(path.dirname(getcwd()))\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from cohorts.functions import *\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": [
    "from utils import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'dataframe_hash': -2899676230513618006,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.5.0+1.gf382e8a.dirty',\n",
      "                             u'isovar': u'0.5.2',\n",
      "                             u'mhctools': u'0.3.1',\n",
      "                             u'numpy': u'1.11.2',\n",
      "                             u'pandas': u'0.19.1',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.10'}}\n"
     ]
    }
   ],
   "source": [
    "cohort = data.init_cohort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from utils.paper import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def plot_all(function, description):\n",
    "    print(\"PFS Benefit:\")\n",
    "    mann_whitney_hyper_label_printer(cohort.plot_benefit(on={description: function}),\n",
    "                                     label=\"pfs_%s\" % function.__name__)\n",
    "    plt.show()\n",
    "    df = cohort.as_dataframe(on=function)\n",
    "    print(\"OS Benefit:\")\n",
    "    mann_whitney_hyper_label_printer(cohort.plot_benefit_os(on={description: function}),\n",
    "                                     label=\"os_%s\" % function.__name__)\n",
    "    plt.show()\n",
    "    survival_hyper_label_printer(cohort.plot_survival(on={description: function}, how=\"pfs\"),\n",
    "                                 label=\"pfs_%s_curve\" % function.__name__)\n",
    "    plt.show()\n",
    "    survival_hyper_label_printer(cohort.plot_survival(on={description: function}, how=\"os\"),\n",
    "                                 label=\"os_%s_curve\" % function.__name__)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PFS Benefit:\n",
      "inner join with ensembl_coverage: 25 to 25 rows\n",
      "Mann-Whitney test: U=94.0, p-value=0.223528962588 (two-sided)\n",
      "{{{pfs_missense_snv_count_plot}}}\n",
      "{{{pfs_missense_snv_count_benefit:3.24 (range 0.038-11.44)}}}\n",
      "{{{pfs_missense_snv_count_no_benefit:0.45 (range 0.019-9.90)}}}\n",
      "{{{pfs_missense_snv_count_mw:n=25, Mann-Whitney p=0.22}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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UY3nWMk25LiKSv3Ldwxg3blyu3/Tzzz+zYsUKMjIyME0TL6/b9o54sIsXL3L9+nVdiyNS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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e38af390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OS Benefit:\n",
      "Mann-Whitney test: U=95.0, p-value=0.369461942748 (two-sided)\n",
      "{{{os_missense_snv_count_plot}}}\n",
      "{{{os_missense_snv_count_benefit:2.13 (range 0.038-11.44)}}}\n",
      "{{{os_missense_snv_count_no_benefit:0.48 (range 0.019-9.90)}}}\n",
      "{{{os_missense_snv_count_mw:n=25, Mann-Whitney p=0.37}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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I2e3LXfr61z2t9sqJ/7Kv7M7rPykZHA4Hycmu/StGxIrM9FRM3bytUOW5hzFm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\nKgwREbHk/wEQA4C7q9Iv7AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e4a1be90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{pfs_missense_snv_count_curve_plot}}}\n",
      "{{{pfs_missense_snv_count_curve_logrank:n=25, log-rank p=0.44}}}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tavi/miniconda2/lib/python2.7/site-packages/numpy/core/fromnumeric.py:224: FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead\n",
      "  return reshape(newshape, order=order)\n"
     ]
    },
    {
     "data": {
      "image/png": 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jYRk4cGBl5iAiohpCY2HhMsRERPQiqu1dYUREpJ9kPyB59+5d7Ny5E7dv30Zu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\nuX24tGkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e16d3550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{os_missense_snv_count_curve_plot}}}\n",
      "{{{os_missense_snv_count_curve_logrank:n=25, log-rank p=0.87}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ly6vOvFQ79mhILS5fvozg4GA8fPgQBgYGCufJlXnyg7BqtFpN+578+++//45Vq1ahoKAA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e4c2cb50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PFS Benefit:\n",
      "Mann-Whitney test: U=94.0, p-value=0.218501799092 (two-sided)\n",
      "{{{pfs_expressed_missense_snv_count_plot}}}\n",
      "{{{pfs_expressed_missense_snv_count_benefit:0.95 (range 0.00-3.58)}}}\n",
      "{{{pfs_expressed_missense_snv_count_no_benefit:0.18 (range 0.00-3.83)}}}\n",
      "{{{pfs_expressed_missense_snv_count_mw:n=25, Mann-Whitney p=0.22}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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jl1+u4u5dwtmlOJ1pZM1+E5uQ9L82S0au7ZJupXAzNXd7cWJJTbZ7H797aqhd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\nnIJARMTFKQhERFycgkBExMX9f24CcJ9SLcI+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e4aa0850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OS Benefit:\n",
      "Mann-Whitney test: U=96.0, p-value=0.335901896321 (two-sided)\n",
      "{{{os_expressed_missense_snv_count_plot}}}\n",
      "{{{os_expressed_missense_snv_count_benefit:0.75 (range 0.00-3.58)}}}\n",
      "{{{os_expressed_missense_snv_count_no_benefit:0.19 (range 0.00-3.83)}}}\n",
      "{{{os_expressed_missense_snv_count_mw:n=25, Mann-Whitney p=0.34}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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u3fdcyJEjRxg9evQ9H0fyxqpVq+jZsyc9evRgyZIlmoBQpBDLNgiOHTsGQIcOHQBITEy0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\nHYH5JaoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e3a95950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{pfs_expressed_missense_snv_count_curve_plot}}}\n",
      "{{{pfs_expressed_missense_snv_count_curve_logrank:n=25, log-rank p=0.067}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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DI0eOoLCwEOvXr4eJiQmAontrrl+/jgMHDmDkyJE4fvw4Lly4gO3bt8Pe3h5A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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e44329d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{os_expressed_missense_snv_count_curve_plot}}}\n",
      "{{{os_expressed_missense_snv_count_curve_logrank:n=25, log-rank p=0.27}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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ikSj0oCQSCUJCQhAUFIRly5ZBJpPBwcEBO3bs4F0BSOsUZBdg/4RoUfZt6WYB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\nERGJKwWNiIjElYJGRETi6g8zUAmgtv1eYAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e39e7ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PFS Benefit:\n",
      "Mann-Whitney test: U=83.0, p-value=0.552214222034 (two-sided)\n",
      "{{{pfs_neoantigen_count_plot}}}\n",
      "{{{pfs_neoantigen_count_benefit:4.58 (range 0.037-39.48)}}}\n",
      "{{{pfs_neoantigen_count_no_benefit:1.35 (range 0.00-20.22)}}}\n",
      "{{{pfs_neoantigen_count_mw:n=25, Mann-Whitney p=0.55}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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79u32eZz8/f2B4tNrx4wZo0NSIiK1gOUrvT09PenUqVOptpKxDRERqfksB8bJkyfZtGkT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\nCgwREbFEgSEiIpb8f0dNJqY3FdAxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39eb88f610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OS Benefit:\n",
      "Mann-Whitney test: U=83.0, p-value=0.806636280193 (two-sided)\n",
      "{{{os_neoantigen_count_plot}}}\n",
      "{{{os_neoantigen_count_benefit:3.56 (range 0.037-39.48)}}}\n",
      "{{{os_neoantigen_count_no_benefit:1.37 (range 0.00-20.22)}}}\n",
      "{{{os_neoantigen_count_mw:n=25, Mann-Whitney p=0.81}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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pEhcXh2EYAAwdOpQ9e/ZgGIZmkBURqQEsBcbQoUOJjIwsc2qQ2267jQceeKCy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\nRMQSBYaIiFiiwBAREUsUGCIiYsn/B/uYMTD+iZ67AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e3edc090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{pfs_neoantigen_count_curve_plot}}}\n",
      "{{{pfs_neoantigen_count_curve_logrank:n=25, log-rank p=0.44}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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cwA8//KCZdEREpHUkFRZ9fX0AgKGhofj59evXUVZWBgBQKBQaikdERNpG0j2W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\nTvU/4HJ51gbAN0gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39d3df2290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{os_neoantigen_count_curve_plot}}}\n",
      "{{{os_neoantigen_count_curve_logrank:n=25, log-rank p=0.87}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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REUxMTNSZi7RUbmaufAG0Cv3/cs+V9tGgNp6WsJthq+kYRHWK0ms0JSUlAAAj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\nGiGEEBn1Dz19jWvAALqnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e4aa0850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PFS Benefit:\n",
      "Mann-Whitney test: U=92.0, p-value=0.264398771553 (two-sided)\n",
      "{{{pfs_expressed_neoantigen_count_plot}}}\n",
      "{{{pfs_expressed_neoantigen_count_benefit:2.13 (range 0.00-7.49)}}}\n",
      "{{{pfs_expressed_neoantigen_count_no_benefit:0.49 (range 0.00-6.80)}}}\n",
      "{{{pfs_expressed_neoantigen_count_mw:n=25, Mann-Whitney p=0.26}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ur18/T3tmZiaQc9eviIh4NkuBERwcDOSMZVxs4cKFQM5NWyIi4tksBUbz5s0BePbZZ51t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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e3f055d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OS Benefit:\n",
      "Mann-Whitney test: U=96.0, p-value=0.335901896321 (two-sided)\n",
      "{{{os_expressed_neoantigen_count_plot}}}\n",
      "{{{os_expressed_neoantigen_count_benefit:1.75 (range 0.00-7.49)}}}\n",
      "{{{os_expressed_neoantigen_count_no_benefit:0.52 (range 0.00-6.16)}}}\n",
      "{{{os_expressed_neoantigen_count_mw:n=25, Mann-Whitney p=0.34}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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WdBURkdvPXwqMadOm2e8GV2CIiLi3v3xKSnNNiYgUDn+phzF+/Ph8KkNERFzd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\nf2iKAyEMCX9OAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e3873ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{pfs_expressed_neoantigen_count_curve_plot}}}\n",
      "{{{pfs_expressed_neoantigen_count_curve_logrank:n=25, log-rank p=0.067}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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PnjyBnp6eVFQUjI2NkZ2dDQCIjIxEw4YNpaKi2N6jRw9ERESwsBARVYIqe8v8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\nJYVFCCHEqPoftJ2mX+LLjRMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e437ba10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# no condition 13\n",
      "# with condition 12\n",
      "{{{os_expressed_neoantigen_count_curve_plot}}}\n",
      "{{{os_expressed_neoantigen_count_curve_logrank:n=25, log-rank p=0.27}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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mOh5DRER1W5Uv2CwqKkJYWBhiYmKgo6OD/v37Y8qUKahXj5fkEBFRWVUuNCEh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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f39e42e5750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for function, description in [\n",
    "    (missense_snv_count, \"# Missense SNVs / MB\"),\n",
    "    (expressed_missense_snv_count, \"# Expr. Missense SNVs / MB\"),\n",
    "    (neoantigen_count, \"# Neoantigens / MB\"),\n",
    "    (expressed_neoantigen_count, \"# Expr. Neoantigen / MB\")]:\n",
    "    plot_all(function, description)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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